Pretransplant serologic testing to identify the risk of polyoma BK viremia in pediatric kidney transplant recipients
Bibliographic record
Abstract
This study investigated the age-related prevalence of a prior polyoma BKV infection at the time of transplantation and association with subsequent development of BKV viremia. We measured BKV-specific antibody titers in stored serum samples obtained before transplantation in 94 pediatric kidney transplant recipients (in a single-center, retrospective analysis) and 40 matched donors from 1986 to 2007. Titers were categorized as LOW or HIGH serostatus at titers of ≤ 1:2560 and ≥ 1:10 240, respectively. Of these, 36 recipients transplanted since 2002 were prospectively screened for BKV viremia. Seventeen percent of recipients aged 0-6 yr had HIGH BKV serostatus compared with 73% of older recipients (p < 0.002). The prevalence of HIGH donor BKV serostatus was 73%. Five prospectively screened patients (14%) developed early BKV viremia, and an additional 4 (11%) had late onset of BKV viremia. There were three cases (8%) of BKVAN. LOW BKV serostatus was significantly associated with early BKV viremia (p = 0.02). Donor HIGH to recipient LOW (HIGH/LOW) had the highest risk of BKV viremia (4/7; 57%), compared with LOW/LOW (0/3; 0%) and recipient HIGH (1/26; 4%) (p = 0.004). BKV IgG titers are low in young pediatric kidney transplant recipients, and LOW BKV serostatus is associated with an increased risk of early BKV infection post-transplant, particularly in the context of donor with HIGH BKV serostatus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".